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**实施@jdehesa 后更新答案：我的代码如下所示：

from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf

import numpy as np
import matplotlib.pyplot as plt
import os
import PIL as pil
from tensorflow import feature_column
from tensorflow_core.python.platform.flags import FLAGS

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'


def print_type(name , x):
    print(" {} type = {}".format(name, type(x)))


def _bytes_feature(value):
    """Returns a bytes_list from a string / byte."""
    if isinstance(value, type(tf.constant(0))):
        value = value.numpy() # BytesList won't unpack a string from an EagerTensor.
    return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))


def _float_feature(value):
    if not isinstance(value, …